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feat: autoclean monitoring events
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@@ -16,6 +16,57 @@ class MonitoringService:
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def __init__(self, ap: app.Application) -> None:
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self.ap = ap
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# ========== Cleanup Methods ==========
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async def cleanup_expired_records(self, retention_days: int) -> dict[str, int]:
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"""Delete monitoring records older than the specified retention period.
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Args:
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retention_days: Number of days to retain records.
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Returns:
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A dict mapping table name to the number of deleted rows.
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"""
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cutoff = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None) - datetime.timedelta(
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days=retention_days
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)
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tables_and_columns: list[tuple[str, type, sqlalchemy.Column]] = [
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(
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'monitoring_messages',
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persistence_monitoring.MonitoringMessage,
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persistence_monitoring.MonitoringMessage.timestamp,
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),
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(
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'monitoring_llm_calls',
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persistence_monitoring.MonitoringLLMCall,
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persistence_monitoring.MonitoringLLMCall.timestamp,
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),
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(
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'monitoring_embedding_calls',
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persistence_monitoring.MonitoringEmbeddingCall,
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persistence_monitoring.MonitoringEmbeddingCall.timestamp,
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),
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(
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'monitoring_errors',
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persistence_monitoring.MonitoringError,
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persistence_monitoring.MonitoringError.timestamp,
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),
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(
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'monitoring_sessions',
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persistence_monitoring.MonitoringSession,
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persistence_monitoring.MonitoringSession.last_activity,
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),
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]
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deleted_counts: dict[str, int] = {}
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for table_name, model_cls, ts_column in tables_and_columns:
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result = await self.ap.persistence_mgr.execute_async(sqlalchemy.delete(model_cls).where(ts_column < cutoff))
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deleted_counts[table_name] = result.rowcount
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return deleted_counts
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# ========== Recording Methods ==========
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async def record_message(
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